How does this skill differ from standard AI debugging?

It enforces a standardized 10-step checklist and specific anti-pattern checks, preventing the AI from repeating failed fixes or treating symptoms rather than root causes.

What is the 50% context rule in this skill?

To prevent reasoning degradation, the skill mandates summarizing facts and restarting the chat once the context window reaches 50% capacity, ensuring the AI stays focused.

How does it handle complex, multi-file bugs?

The skill uses a project-wide search and patch strategy to ensure that once a root cause is identified, the fix is applied consistently across all occurrences in the codebase.

When should I activate the Systematic Debugging skill?

Use it when a bug has no obvious cause, when error messages are misleading, or when multiple attempted fixes have already failed to resolve the issue.

Can this skill help with regression testing?

Yes, the framework includes explicit steps to verify fixes with minimal tests and update documentation/regression tests to ensure the bug stays fixed.

Systematic Debugging

Name: Systematic Debugging
Author: dhruvbaldawa

bydhruvbaldawa

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安全与测试

Eliminates software bugs by identifying root causes through structured investigation and sequential reasoning.

关于

The Systematic Debugging skill transforms Claude's troubleshooting process from reactive symptom-chasing into a rigorous methodology centered on root cause analysis. It implements a structured 10-step UNDERSTAND checklist and leverages sequential thinking to avoid circular reasoning and 'whack-a-mole' fixes. By enforcing strict context management and progress tracking via TodoWrite, it ensures complex, multi-file issues are resolved thoroughly while maintaining high code quality and preventing future regressions.

主要功能

3 GitHub stars
Anti-pattern detection to prevent circular fixes and premature victory
Strict context management rules to maintain high reasoning accuracy
10-step UNDERSTAND checklist for comprehensive bug investigation
Root cause analysis using '5 Whys' and sequential reasoning frameworks
Integrated progress tracking with TodoWrite for complex debugging sessions

使用场景

Resolving recurring bugs that have been previously 'fixed' but returned
Diagnosing cryptic error messages in large, unfamiliar codebases
Implementing project-wide fixes for systemic architectural issues

关于

主要功能

3 GitHub stars
Anti-pattern detection to prevent circular fixes and premature victory
Strict context management rules to maintain high reasoning accuracy
10-step UNDERSTAND checklist for comprehensive bug investigation
Root cause analysis using '5 Whys' and sequential reasoning frameworks
Integrated progress tracking with TodoWrite for complex debugging sessions

使用场景

Resolving recurring bugs that have been previously 'fixed' but returned
Diagnosing cryptic error messages in large, unfamiliar codebases
Implementing project-wide fixes for systemic architectural issues